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Inverting Deep Generative models, One layer at a time

18 June 2019

Inderjit S. Dhillon

Papers citing "Inverting Deep Generative models, One layer at a time"

38 / 38 papers shown

Title
Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Tianci Liu Tong Yang Quan Zhang Qi Lei WIGM AAML 47 0 0 03 Jun 2025
Injectivity capacity of ReLU gates Mihailo Stojnic 70 0 0 28 Oct 2024
On the Fine-Grained Hardness of Inverting Generative Models Feyza Duman Keles Chinmay Hegde 70 1 0 11 Sep 2023
Roulette: A Semantic Privacy-Preserving Device-Edge Collaborative Inference Framework for Deep Learning Classification Tasks Jingyi Li Guocheng Liao Lin Chen Xu Chen 73 9 0 06 Sep 2023
A Linearly Convergent GAN Inversion-based Algorithm for Reverse Engineering of Deceptions D. Thaker Paris V. Giampouras René Vidal AAML 57 0 0 07 Jun 2023
Single-Model Attribution of Generative Models Through Final-Layer Inversion M. Laszkiewicz Jonas Ricker Johannes Lederer Asja Fischer 96 3 0 26 May 2023
Deep Joint Source-Channel Coding with Iterative Source Error Correction Changwoo Lee Xiao Hu Hun-Seok Kim 54 6 0 17 Feb 2023
Reconstructing Training Data from Model Gradient, Provably Zihan Wang Jason D. Lee Qi Lei FedML 116 26 0 07 Dec 2022
Optimization for Amortized Inverse Problems Tianci Liu Tong Yang Quan Zhang Qi Lei 84 6 0 25 Oct 2022
Theoretical Perspectives on Deep Learning Methods in Inverse Problems Jonathan Scarlett Reinhard Heckel M. Rodrigues Paul Hand Yonina C. Eldar AI4CE 110 32 0 29 Jun 2022
Equivariant Priors for Compressed Sensing with Unknown Orientation Anna Kuzina Kumar Pratik F. V. Massoli Arash Behboodi 137 2 0 28 Jun 2022
Signal Recovery with Non-Expansive Generative Network Priors Jorio Cocola 61 1 0 24 Apr 2022
Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows Michael Puthawala Matti Lassas Ivan Dokmanić Maarten V. de Hoop 88 13 0 08 Oct 2021
Robust Compressed Sensing MRI with Deep Generative Priors A. Jalal Marius Arvinte Giannis Daras Eric Price A. Dimakis Jonathan I. Tamir MedIm 104 339 0 03 Aug 2021
Regularising Inverse Problems with Generative Machine Learning Models Margaret Duff Neill D. F. Campbell Matthias Joachim Ehrhardt GAN MedIm 67 38 0 22 Jul 2021
Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks Xin Dong Hongxu Yin J. Álvarez Jan Kautz Pavlo Molchanov H. T. Kung MIACV 83 8 0 13 Jul 2021
The Effects of Invertibility on the Representational Complexity of Encoders in Variational Autoencoders Divyansh Pareek Andrej Risteski DRL 50 0 0 09 Jul 2021
Instance-Optimal Compressed Sensing via Posterior Sampling A. Jalal Sushrut Karmalkar A. Dimakis Eric Price 79 52 0 21 Jun 2021
Provably Convergent Algorithms for Solving Inverse Problems Using Generative Models Viraj Shah Rakib Hyder M. Salman Asif Chinmay Hegde 49 3 0 13 May 2021
On Linear Interpolation in the Latent Space of Deep Generative Models M. Michelis Quentin Becker 79 11 0 08 May 2021
Unsupervised 3D Shape Completion through GAN Inversion Junzhe Zhang Xinyi Chen Zhongang Cai Liang Pan Haiyu Zhao Shuai Yi C. Yeo Bo Dai Chen Change Loy 3DPC 70 114 0 27 Apr 2021
See through Gradients: Image Batch Recovery via GradInversion Hongxu Yin Arun Mallya Arash Vahdat J. Álvarez Jan Kautz Pavlo Molchanov FedML 101 475 0 15 Apr 2021
Provable Compressed Sensing with Generative Priors via Langevin Dynamics Thanh V. Nguyen Gauri Jagatap Chinmay Hegde GAN 79 15 0 25 Feb 2021
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models Giannis Daras Joseph Dean A. Jalal A. Dimakis DRL 230 85 0 15 Feb 2021
Stochastic Image Denoising by Sampling from the Posterior Distribution Bahjat Kawar Gregory Vaksman Michael Elad DiffM 87 64 0 23 Jan 2021
GAN Inversion: A Survey Weihao Xia Yulun Zhang Yujiu Yang Jing-Hao Xue Bolei Zhou Ming-Hsuan Yang DiffM 249 520 0 14 Jan 2021
MixCon: Adjusting the Separability of Data Representations for Harder Data Recovery Xiaoxiao Li Yangsibo Huang Binghui Peng Zhao Song Keqin Li MIACV 69 1 0 22 Oct 2020
Compressed Sensing via Measurement-Conditional Generative Models Kyungsu Kim J. H. Lee Eunho Yang GAN MedIm 69 3 0 02 Jul 2020
When and How Can Deep Generative Models be Inverted? Aviad Aberdam Dror Simon Michael Elad 94 13 0 28 Jun 2020
Robust Compressed Sensing using Generative Models A. Jalal Liu Liu A. Dimakis Constantine Caramanis 96 41 0 16 Jun 2020
Globally Injective ReLU Networks Michael Puthawala K. Kothari Matti Lassas Ivan Dokmanić Maarten V. de Hoop 103 28 0 15 Jun 2020
Constant-Expansion Suffices for Compressed Sensing with Generative Priors C. Daskalakis Dhruv Rohatgi Manolis Zampetakis 65 12 0 07 Jun 2020
Image Restoration from Parametric Transformations using Generative Models Kalliopi Basioti G. Moustakides DiffM GAN 58 5 0 27 May 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 122 537 0 12 May 2020
Solving Inverse Problems with a Flow-based Noise Model Jay Whang Qi Lei A. Dimakis 132 39 0 18 Mar 2020
Privacy-preserving Learning via Deep Net Pruning Yangsibo Huang Yushan Su S. S. Ravi Zhao Song Sanjeev Arora Keqin Li MLT 68 16 0 04 Mar 2020
Inference with Deep Generative Priors in High Dimensions Jillian R. Fisher Mojtaba Sahraee-Ardakan S. Rangan Zaid Harchaoui Yejin Choi BDL 64 47 0 08 Nov 2019
Generative Imaging and Image Processing via Generative Encoder Lin Chen Haizhao Yang GAN 24 1 0 23 May 2019